Abstract:To meet the requirements of intelligent maintenance assistant decisionmaking of airport cement pavements, 356 sets of valid data from 26 civil airports in China were selected. The correlation of pavement performance indexes was analyzed, and PCI, PCN, void condition and surface roughness were finally confirmed as the pavement performance variables. Considering management requirements of pavements, available funds, allowable delays, expected benefits and project safety were proposed, and their attribute levels were determined respectively. Besides, 8 kinds of common maintenance measures were also summarized. Subsequently, the maintenance decisionmaking tree by using the C5.0 algorithm of the data mining technology was trained to establish the maintenance assistant decisionmaking model. The evaluation and application of the established model were also conducted. The results show that the model is more accurate in forecasting. The results also show that the decisionmaking is reasonable and the engineering application of the model is more feasible.
